Instructions to use airesearch/Qwen3-30B-A3B-Base-medqa-seed-42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use airesearch/Qwen3-30B-A3B-Base-medqa-seed-42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/project/lt200252-wcbart/pumet/models/Qwen3-30B-A3B-Base") model = PeftModel.from_pretrained(base_model, "airesearch/Qwen3-30B-A3B-Base-medqa-seed-42") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.02663903683423996, | |
| "eval_runtime": 276.1986, | |
| "eval_samples_per_second": 17.697, | |
| "eval_steps_per_second": 0.141, | |
| "total_flos": 4.432857893200462e+18, | |
| "train_loss": 0.4512600473944069, | |
| "train_runtime": 28077.9211, | |
| "train_samples_per_second": 4.7, | |
| "train_steps_per_second": 0.005 | |
| } |